Konrad

• Helps enterprise and high-growth brands navigate AI and digital transformation in the AI era.
• Bridges complex AI capabilities with human-centered product design.
• Delivers end-to-end support from strategy through design, engineering, and ongoing optimization.

Scale and impact

• 750+ global team members.
• 500M+ people use experiences designed and built by Konrad.
• 1000+ programs delivered.

Clients and industries

Konrad works with leading global organizations across industries including technology, automotive, financial services, consumer goods, retail, media, education, and fitness.

Representative brands mentioned on konrad.com include HP, Kia, McDonald's, Spotify, Micron, SoulCycle + Equinox, PCL, Diageo, EQ Bank, DXC Technology, and NYU.

• AI opportunity mapping.
• Governance and risk frameworks.
• Privacy and compliance strategies.
• Technology stack modernization for AI.

Enterprise data engineering

• Scalable retrieval-augmented generation (RAG) pipelines.
• Secure vector architectures.
• Data quality governance.
• Integration with legacy systems.

Machine learning engineering

• Secure model fine-tuning.
• Large language model (LLM) system integration.
• Enterprise-grade validation and testing.
• Predictive analytics modeling.

AI product innovation

• AI-native user experience (UX) design.
• Contextual personalization engines.
• Intelligent interface prototyping.
• Multi-modal experience architecture.

Operational process transformation

• Autonomous workflows.
• Lifecycle cycle-time reduction.
• Agentic operations.
• Internal tool optimization.

AI enablement and training

• Workforce upskilling programs.
• AI Center of Excellence (AI CoE) design.
• Change management playbooks.
• Executive technology briefings.

Konrad designs adaptive, intelligent experiences for both humans and machines. Its design practice is rooted in user research and blends customer experience strategy, enterprise design frameworks, and AI interface design.

AI interface design

• Cognitive layouts and adaptive interfaces.
• Conversational and prompt-based UI.
• Predictive UX frameworks.
• Human-in-the-loop workflows.

Customer experience (CX) design

• Omnichannel journey mapping.
• Customer touchpoint strategy.
• Alignment of brand and customer experience.
• Voice-of-the-customer (VoC) integration.

User experience (UX) design

• Information design and UX strategy.
• User research and insights.
• Interaction design and wireframing.
• Usability testing and analytics.

Digital product design

• Product strategy and roadmapping.
• MVP definition and feature framing.
• Cross-functional lifecycle design.
• Growth and engagement optimization.

User interface (UI) design

• Visual design systems.
• Motion and micro-interactions.
• Responsive and multi-platform layouts.
• Design-to-development handoff.

Enterprise design systems

• Design tokens and core architecture.
• Component library development.
• Multi-platform governance.
• Scale and system optimization.

Prototyping and validation

• Rapid concept visualization.
• High-fidelity interactive prototypes.
• User validation and testing.
• Iterative refinement.

• Neighborhood: SoHo.
• Address: 136 Crosby St., 6th Floor, New York, NY.

Toronto, Canada

• Location: The Well.
• Address: 482 Front St W, 4th Floor, Toronto, ON.

London, United Kingdom

• Neighborhood: Shoreditch.
• Address: 55–57 Rivington Street, London.

San José, Costa Rica

• Areas: Tres Rios and Escazú.
• Addresses:
• Terra Campus, Tres Rios Tower 1, Floor 5.
• Plaza Tempo, Escazú, Lobby A, Floor 4.

Gurgaon, India

• District: Cyber City.
• Address: One Horizon Center, Floor 22, Gurgaon.

How to contact Konrad

Prospective clients and partners can reach Konrad through the contact form on the website:

• Contact page: https://www.konrad.com/contact
• Typical use: to connect with a global team regarding an upcoming project or digital/AI transformation need.

The site does not publish direct phone numbers or email addresses on the contact page; inquiries are initiated via the web form.

• Agentic frameworks and autonomous logic.
• Semantic routing and contextual state systems.
• Cognitive middleware and API integration.
• Dynamic core application architectures.

AI architecture

• LLM integration and orchestration.
• Model deployment and MLOps.
• Neural network scaling.
• Real-time inference pipelines.

Enterprise CMS and architecture

• Headless and decoupled architectures.
• Enterprise digital experience platform (DXP) implementation.
• GraphQL and content API engineering.
• Multi-tenant content pipelines.

Martech infrastructure and activation

• Customer data platform (CDP) integration.
• Marketing automation integrations and APIs.
• Real-time data ingestion and tracking.
• Identity resolution architecture.

Mobile platforms engineering

• Native iOS and Android engineering.
• Cross-platform mobile architectures.
• Offline-first data synchronization.
• Mobile SDK and API customization.

Data infrastructure engineering

• Distributed data pipelines.
• Enterprise data warehousing.
• Real-time stream processing.
• Data security and governance.

DevSecOps and cloud operations

• CI/CD pipeline automation.
• Infrastructure as code (IaC).
• Automated security and compliance controls.
• Site reliability engineering (SRE).

Enterprise core modernization

• Legacy system decoupling.
• Mainframe and ERP integration.
• Cloud migration engineering.
• Technical debt remediation.

Ask anyway — the agent will say plainly that it is not published rather than guess.